Fractional Tikhonov regularization for linear discrete ill-posed problems
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Publication:533711
DOI10.1007/s10543-011-0313-9zbMath1215.65075OpenAlexW2168246956MaRDI QIDQ533711
Michiel E. Hochstenbach, Lothar Reichel
Publication date: 4 May 2011
Published in: BIT (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10543-011-0313-9
singular valuesdiscrepancy principleill-posed problemnormal equationsKrylov subspace methodfilter functionsolution norm constraintleast-squares problemfractional Tikhonov regularizationweighted residual norm
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Uses Software
Cites Work
- Regularization tools version \(4.0\) for matlab \(7.3\)
- A Trust-Region Approach to the Regularization of Large-Scale Discrete Forms of Ill-Posed Problems
- Accelerating the LSTRS Algorithm
- Tikhonov Regularization with a Solution Constraint
- Regularization by fractional filter methods and data smoothing
- Lanczos-based exponential filtering for discrete ill-posed problems
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